-
# Describe the feature
**Motivation**
The motivation behind this feature request is to integrate the recently proposed Dynamic Snake Convolution (DSCNet) model for tubular structure segmentation i…
-
Platforms: linux
This test was disabled because it is failing in CI. See [recent examples](https://hud.pytorch.org/flakytest?name=test_conv2d_backward_channels_last_dynamic_shapes_cpu&suite=DynamicSh…
-
## 一言でいうと
CNNの計算コストを削減するため、kernelをレイヤ間で共有する手法。入力に対しAttentionを計算し、その重み(配合率)でkernelを組み合わせて畳み込みを計算する。既存のアーキテクチャ(Mobilenet)に組み入れることで、速度/精度双方の改善に成功。
### 論文リンク
https://arxiv.org/abs/1912.03458
#…
-
The current method of the spectral resolution convolution kernel assumes that there is a single convolution kernel which does not vary with wavelength. This assumes that the spectral resolution is the…
-
convolve_dynamic~ applies non-segmented convolution.
Therefore, the signal is delayed by the duration of the applied impulse response and processing power is used only bursty.
This is a complicated t…
-
logつくけど殴れる!みたいなのは除くものとする
library checkerのカテゴリ変更に対応していません
https://judge.yosupo.jp/
# New
- [ ] Matrix Product (Mod 2)
- [ ] Multiplication of Hex Big Integers
- [ ] Intersection of F_2 vector spa…
-
Context Modulated Dynamic Networks for Actor and Action Video Segmentation with Language Queries, AAAI 2020
-
### 🐛 Describe the bug
There are following issues:
- passing `Parameter` as argument instead of `Tensor` causes recompilation
- setting `torch._dynamo.mark_dynamic` on `Parameter` has no effect
- …
-
### 🐛 Describe the bug
Hello, I'm trying to compile a simple model using `torch_tensorrt`. Here's the code
```py
import torch
import torch_tensorrt
class MyModule(torch.nn.Module):
…
-
## Abstract
- self-attention is strong, but its effect on long-range dependency is in question
- propose `lightweight convolution` and `dynamic convolution`, a convolution as a function of timestep …